Our PhD and MS level biostatisticians are highly trained in a range of statistical and analytic methods, including:
- Longitudinal data analysis
- ANOVA, regression, logistic regression
- Bayesian data analyses
- Sample size and power estimation
- Statistical genomics
- Survival analyses
- Principal component and factor analysis
- Path modeling
- Structural equation modeling
- Cluster analysis
- Complex survey data analysis
- Statistical simulations and graphics
- Profile analysis
- Gene expression data analysis
- Mixed effects models
- Generalized Estimating Equations (GEE)
- Propensity Score Matching (PSM)
- Evaluation of medical tests for classification and prediction
- Estimation of median lethal doses (LD50)/quantal dose-response curves
Please click here for additional information on our rates.
Biostatisticians & Epidemiologists
Mehmet Kocak, PhD Associate Professor of Biostatistics, Preventive Medicine Mehmet earned his M.Sc. degree in applied statistics from Michigan State University and a Ph.D. in statistics from the University of Memphis. He has been a study biostatistician for numerous Phase-I and Phase-II clinical trials conducted by St. Jude Children’s Research Hospital from 2002-2011 and by Pediatric Brain Tumor Consortium (PBTC) from 2002-present, and for clinical and observational studies conducted by University of Tennessee Health Science Center (UTHSC) since 2011. His areas of research have been time-course gene expression data analysis, meta-analysis of p-values, Phase-I clinical trial design, Survival analysis, and categorical data analysis. He is an expert in the SAS programming language as well as SAS/Graph.
Zoran Bursac, PhD Professor of Biostatistics, Preventive Medicine Zoran Bursac, PhD, MPH, is a Professor in the Division of Biostatistics and Associate Director and Senior Statistical Scientist in the Center for Population Sciences, in the Department of Preventive Medicine at the University of Tennessee Health Science Center. His background is in computer science and mathematics, and graduate work in biostatistics from The University of Oklahoma Health Science Center. His research areas of interest include logistic regression, repeated measures, missing data, categorical data analysis, variable selection algorithms, cluster randomized studies and nesting, in the chronic disease fields of obesity, weight loss, alcohol, tobacco and cancer prevention.